<link rel="stylesheet" href="styles.f3b1fba60ec7970c.css">

How Do e-Nutrition Literacy and Faith Shape Positive Nutrition Attitudes? A Machine Learning Approach in Türkiye

dc.contributor.authorYilmaz, Hande Ongun
dc.contributor.authorArslan, Sedat
dc.contributor.authorYilmaz, Salim
dc.date.accessioned2026-11-05T11:04:29Z
dc.date.issued2026
dc.description.abstractBackground/Objectives: Evidence on religiosity, religious affiliation, and e-nutrition literacy in shaping nutrition attitudes is limited in adult majority-Muslim contexts. The aim of this study is to examine the independent and interactive associations of religiosity, religious affiliation, and e-nutrition literacy with positive nutrition attitudes among adults in T & uuml;rkiye. Methods: This study involved a cross-sectional online survey conducted November-December 2024 via convenience and snowball sampling. After quality checks, 1104 adults remained (mean age = 25.7 years, mean BMI = 23.5 kg/m(2); 69.3% female, 90.7% Muslim). Religiosity was measured with the Duke University Religion Index, and nutrition literacy and positive nutrition attitudes with validated scales. Demographics and anthropometrics were self-reported. Positive Nutrition Attitudes was the primary outcome, predicted by e-nutrition literacy, analyzed using robust OLS and explored for nonlinearities/interactions with Random Forests and SHAP. A generalized linear model tested three-way interactions of e-nutrition literacy, religious affiliation, and religiosity, adjusting for age and BMI. Performance used train or test splits and five-fold cross-validation. Results: e-Nutrition literacy was the strongest predictor (beta = 0.155, p < 0.001). Cross-validated R-2 was modest (about 0.04). Random Forests slightly improved fit (test R-2 about 0.064). SHAP indicated a literacy threshold near 26.1 with predominantly positive contributions above this value. In threshold-stratified models, religiosity showed a positive association (beta = 0.332, p = 0.010). Non-Muslims had higher unadjusted means, but affiliation effects were not significant after adjustment. Conclusions: The results highlight the threshold-dependent role of e-nutrition literacy in positive nutrition attitudes and the independent effect of religiosity. These results suggest that boosting literacy above the critical threshold and incorporating religious values may support healthier nutrition behaviors.
dc.description.issue3
dc.description.pages413
dc.description.sponsorshipThis research received no external funding. The article processing charge was covered by Acibadem Mehmet Ali Aydinlar University.
dc.description.volume18
dc.identifier.doi10.3390/nu18030413
dc.identifier.issn2072-6643
dc.identifier.urihttps://doi.org/10.3390/nu18030413
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/11195
dc.identifier.wosWOS:001689969700001
dc.language.isoen
dc.publisherMDPI
dc.relation.fundingAcibadem Mehmet Ali Aydinlar University
dc.relation.hasversion10.3390/nu18030413
dc.relation.ispartofNUTRIENTS
dc.subjecte-nutrition literacy
dc.subjectpositive nutrition attitudes
dc.subjectreligiosity
dc.subjectT & uuml
dc.subjectrkiye
dc.subjectmachine learning
dc.subjectSHAP
dc.subjectRandom Forest
dc.subjectNutrition & Dietetics
dc.titleHow Do e-Nutrition Literacy and Faith Shape Positive Nutrition Attitudes? A Machine Learning Approach in Türkiye
dc.typeArticle
oaire.citation.editionScience Citation Index Expanded (SCI-EXPANDED)
oaire.citation.issue3
oaire.citation.volume18
person.identifier.ridHCI-2518-2022
person.identifier.ridABC-3520-2020
person.identifier.ridABB-2313-2020

Files

Collections